Understanding Machine Learning Through Statistics and Probability!
Download the source code from here:
https://onepagecode.substack.com/
🔮 Discover the power of Python and R as we dive into the intriguing world of probability! In this video, we uncover the secrets of predicting outcomes using simple yet powerful statistical techniques. Whether you're a budding statistician or just curious about how probability can forecast events, this tutorial is tailored for you!
Read more here and download source code:
https://onepagecode.substack.com/p/ha...
https://onepagecode.substack.com/p/en...
https://onepagecode.substack.com/p/bi...
https://onepagecode.substack.com/p/ap...
https://onepagecode.substack.com/p/un...
https://onepagecode.substack.com/p/na...
https://onepagecode.substack.com/p/en...
https://onepagecode.substack.com/p/ma...
https://onepagecode.substack.com/p/ma...
https://onepagecode.substack.com/p/ls...
🎲 Watch as we use Python and R to simulate real-world scenarios with coin tosses and other probability experiments. Learn how these programming giants handle random events and calculate probabilities that seem to predict the future!
💡 No prior experience in coding or statistics? No problem! We'll guide you through every step with clear explanations and captivating visuals, making complex concepts accessible to everyone. By the end of this video, you'll not only grasp the basics of probability but also gain insights into how these skills can apply to everyday decisions.
👍 Don't forget to like, subscribe, and hit the bell icon to stay updated with our latest content that makes learning fun and engaging. Ready to see if Python and R can predict your future? Let's get started!
00:00:00 Loads rpy2 extension, installs if required, then loads several libraries, sets seed, defines a coin toss function and a function to draw two graphs
00:01:15 Imports rpy2 package for using R and Python together
00:02:01 Installs packages and simulates coin tosses
00:02:50 Simulate coin tosses and display results
00:04:22 Simulates coin tosses and calculates differences
00:05:59 Testing for independence
00:06:46 Simulate and test coin toss independence
00:07:42 Generate and compare two random variables
00:09:24 Generates and compares Poisson and Binomial distributions
00:10:39 Apply Gaussian Mixture Model for clustering
00:12:19 Generate and plot Gaussian mixture model
00:14:07 Monte Carlo estimation of given parameters
00:15:42 Generate random sample data, calculate mean, variance and estimates of E[y=z^2] and E[k=|z|
00:17:06 Generate histograms illustrating variance relations
00:18:35 Generates and visualises random normal variables
00:19:31 Histogram of random variable z
00:20:28 The code generates random normal variables, sums them and calculates the variance ratio It then displays a histogram of the summed variables
00:21:28 Calculates and visualizes sample average distribution
